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Databricks vs Milvus

Side-by-side comparison to help you choose the best tool.

Databricks

paid
Data & Analytics

Unified analytics platform for big data and machine learning workloads.

Visit Databricks

Milvus

freemium
Data & Analytics
4.4 / 5.0

Milvus is a cloud-native, open-source vector database built to handle billions of vectors at enterprise scale. Originally developed at Zilliz and donated to the LF AI & Data Foundation, it powers semantic search, recommendation systems, and AI applications at companies like Walmart and Shopee. Milvus supports multiple index types, GPU acceleration, and a distributed architecture - making it the most scalable open-source vector database available.

Best for: Enterprise engineering teams building billion-scale vector search systems for recommendation engines, semantic search, and AI applications
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Feature Comparison
Feature Databricks Milvus
Pricing paid freemium
Category Data & Analytics Data & Analytics
Rating N/A ★★★★☆ 4.4
Best For - Enterprise engineering teams building billion-scale vector search systems for recommendation engines, semantic search, and AI applications
Views 178,328 147
Detailed Attribute Comparison
Attribute Databricks Milvus
Pricing Type paid freemium ✓
Free Trial No No
API Available No No
Mobile App No No
Rating N/A 4.4 ✓
Founded - -
Team Size - -
Deployment - -
Popularity (Views) 178,328 ✓ 147
Pros & Cons — Databricks
Pros

No pros listed.

Cons

No cons listed.

Pros & Cons — Milvus
Pros
  • Handles the largest vector datasets of any open-source option
  • GPU acceleration for ultra-fast indexing
  • Strong enterprise adoption and LF AI foundation backing
Cons
  • Complex to operate at full distributed scale
  • Heavier infrastructure requirements than lighter alternatives
Key Features — Databricks

No features listed.

Key Features — Milvus
  • Billion-scale vector search
  • Multiple index types (HNSW, IVF, DiskANN)
  • GPU acceleration support
  • Distributed cloud-native architecture
  • Python, Java & Go SDKs
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